How AI Specialists Are Hired in Georgia and Why Remote Work Dominates the Market

The rise of artificial intelligence has not only created new professions but has also reshaped how and who employs AI specialists. Today’s AI job market is no longer controlled only by tech giants; banks, hospitals, logistics companies, manufacturers, and many other sectors are actively integrating AI solutions. As a result, demand for specialists extends beyond technical roles like Machine Learning Engineer and Data Scientist to business-oriented positions such as AI Product Manager and Business Analyst. The nature of this work often allows for remote or hybrid models, further expanding the geographic reach of AI employment.

In recent years, a global trend has emerged where many companies — especially startups and financial organizations — no longer limit themselves to local talent and increasingly hire AI specialists remotely from around the world. This shift has been driven both by the growth of professional platforms and by the digital nature of AI projects, which can often be fully managed with remote teams.

In Georgia, a distinct pattern is already taking shape. According to BTU’s 2025 research, the overwhelming majority of AI-related job postings in Georgia are linked to international employers who are seeking Georgian specialists for remote positions. LinkedIn data shows that 85% of these positions are remote, only 8% are fully office-based, and the remaining are hybrid. This indicates that Georgian AI professionals are already integrated into the global labor market, with a heavy focus on individual remote work rather than local companies forming full in-house AI teams. Among local-based employers, EPAM Systems is the most active recruiter, while most other vacancies are posted by international tech and consulting firms.

There are several reasons for this structure. First, the Georgian market still lacks AI projects on a scale that would require building full internal teams. Additionally, Georgian IT specialists are increasingly qualified and competitively priced, making them attractive for global projects through remote work. In the coming years, the share of remote employment is expected to remain high, but as the local AI ecosystem matures, domestic companies may begin to establish in-house AI teams, particularly in sectors like finance, insurance, and fintech. For now, Georgia’s labor market remains strongly tied to the global AI ecosystem, gaining valuable opportunities through remote integration.

The full study — “AI Sector in Georgia: Current Trends and Future Potential” — is available at the following link.